​[[{“value”:” Large language models (LLMs), particularly Generative Pre-trained Transformer (GPT) models, have demonstrated strong performance across various language tasks. However, challenges persist in their decoder architecture, Specifically in time-to-first-token (TTFT) and time-per-output token (TPOT). TTFT, reliant on extensive user context, and TPOT, for rapid subsequent… Read More »Apple Researchers Propose KV-Runahead: An Efficient Parallel LLM Inference Technique to Minimize the Time-to-First-Token Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the world of online retail, creating high-quality product descriptions for millions of products is a crucial, but time-consuming task. Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the… Read More »Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock Antonia Wiebeler AWS Machine Learning Blog

​[[{“value”:” Hugging Face has recently introduced LeRobot, a machine learning (ML) model created especially for practical robotics use. LeRobot provides an adaptable platform with an extensive library for advanced model training, data visualization, and sharing. This release represents a major advancement in the goal of… Read More »Hugging Face Releases LeRobot: An Open-Source Machine Learning (ML) Model Created for Robotics Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In natural language processing (NLP), researchers constantly strive to enhance language models’ capabilities, which play a crucial role in text generation, translation, and sentiment analysis. These advancements necessitate sophisticated tools and methods for evaluating these models effectively. One such innovative tool is Prometheus-Eval. Prometheus-Eval… Read More »Prometheus-Eval and Prometheus 2: Setting New Standards in LLM Evaluation and Open-Source Innovation with State-of-the-art Evaluator Language Model Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Leveraging advanced computational techniques in physical sciences has become vital for accelerating scientific discovery. This involves integrating large language models (LLMs) and simulations to enhance hypothesis generation, experimental design, and data analysis. Automating these processes aims to streamline and democratize access to cutting-edge research… Read More »This AI Paper Introduces the Scientific Generative Agent: A Unified Machine Learning Framework for Cross-Disciplinary Scientific Discovery Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” While significant strides have been made in predicting static protein structures, understanding protein dynamics, influenced by ligands, is essential for grasping protein function and advancing drug discovery. Traditional docking methods often treat proteins as rigid, limiting their accuracy. Although molecular dynamics simulations can suggest… Read More »DynamicBind: A Deep Learning Approach for Dynamic Protein-Ligand Docking and Drug Discovery Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language models are designed to understand & generate human language. These models are crucial for applications like chatbots, automated content creation, and data analysis. Their ability to comprehend and generate text depends on the context length they can handle, making advancements in long-context models… Read More »Gradient AI Introduces Llama-3 8B Gradient Instruct 1048k: Setting New Standards in Long-Context AI Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The privacy of users engaging in online communities is a significant task. This is a key justification for why websites like Reddit let users post under fictitious names. There is strong evidence that disclosing an online user’s identity can be damaging, especially for vulnerable… Read More »Researchers from the University of Maryland Introduce an Automatic Text Privatization Framework that Fine-Tunes a Large Language Model via Reinforcement Learning Tanya Malhotra Artificial Intelligence Category – MarkTechPost